Potential huggingface.co integration?

Dear Team,

Thanks so much for releasing this great work together with the dataset. I wonder if your team would be interested in sharing your models, dataset and the demo on HuggingFace Hub?

The Hub offers **free** hosting of over 93k models, 14k datasets and it would make your work more accessible and visible to the rest of the ML community. We can help you set up a Deepinsight organization.

Some of the benefits of sharing your models and weightss through the Hub would be:
* Free hosting of super large dataset thanks to git-lfs and fast distribution with global CDNs (including China)
* versioning, commit history and diffs
* repos provide useful metadata about their tasks, metrics, etc. that make them discoverable
* wider reach of your work to the ecosystem

Creating the repos and adding new models should be a relatively straightforward process if you've used Git before. Here are some step-by-step guide explaining the process in case you're interested.
- Add a model https://huggingface.co/docs/hub/adding-a-model
- Add a dataset https://huggingface.co/docs/hub/datasets-adding
- Add a Space demo https://huggingface.co/blog/gradio-spaces

Example spaces with repos:
github: https://github.com/salesforce/BLIP
Spaces: https://huggingface.co/spaces/akhaliq/BLIP

github: https://github.com/facebookresearch/omnivore
Spaces: https://huggingface.co/spaces/akhaliq/omnivore

Example dataset: https://huggingface.co/datasets/glue

Please let us know if you would be interested and if you have any questions.

Happy to hear your thoughts,
Tiezhen
HuggingFace

The issue names no repository files, tests, or entry points. Start by reviewing the linked Hugging Face Hub guides and determining whether the project intends to publish its models, dataset, and demo. Done would require an agreed scope and the corresponding Hub resources being made available.

Written by the indexing model from the issue text.